Consider a scenario where Entity Framework is used in a high-traffic web application. What integration strategies would you employ for scalability and performance?
- Implementing caching mechanisms such as Redis for frequently accessed data
- Employing asynchronous programming techniques to handle concurrent requests efficiently
- Sharding the database to distribute load across multiple servers
- Utilizing Entity Framework's lazy loading feature for on-demand data retrieval
In high-traffic scenarios, scalability and performance are critical. Employing caching mechanisms like Redis can alleviate database load by storing frequently accessed data in memory. Asynchronous programming helps in handling concurrent requests efficiently by freeing up threads for other tasks while waiting for I/O operations. Sharding the database distributes the load across multiple servers, enhancing scalability. Entity Framework's lazy loading feature can introduce performance overhead due to excessive database queries, hence it's not the preferred option for high-traffic scenarios.
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